Niaz Chowdhury, Lewis Mackenzie

Vehicular Communications for Smart Cars (eBook, ePUB)

Protocols, Applications and Security Concerns

• Format: ePub

Produktbeschreibung

This book covers a wide range of topics from the smart transportation domain. It discusses protocols, applications and security concerns in various vehicular networks using examples and easy-to-understand figures. The first four chapters focus on vehicular network protocols and applications, while the remaining four chapters incorporate security, trust and privacy issues with examples from real-life cases. The book concludes with a vision of what to expect in the near future and will be an invaluable resource for anybody interested in this nascent technology and its variegated applications.



Dr. Niaz Chowdhury is a postdoctoral research associate at the Knowledge Media Institute, the Open University in England.



Dr. Lewis M. Mackenzie is a senior lecturer in computing science at the University of Glasgow.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 216
• Erscheinungstermin: 30. Dezember 2021
• Englisch
• ISBN-13: 9781351617444
• Artikelnr.: 63217458

Autorenporträt

Dr. Lewis M. Mackenzie is a Senior Lecturer in Computing Science at the University of Glasgow. His primary research interests are in machine architectures, the performance modelling of communication systems, vehicular networks and usable security. Dr Mackenzie's recently published work has involved the modelling of traffic patterns in a variety of scenarios from regular wormhole-switched multi-computer interconnects to mobile ad-hoc wireless networks (MANETs), the secure use of vehicular ad hoc networks in safety applications, graphical authentication mechanisms and wearable technology. He is also co-author of a recent book on the limits of computation.

Dr. Niaz Chowdhury is a Postdoctoral Research Associate in Knowledge Media Institute, the Open University in England where his primary research interests are Wireless Networks, Internet of Things (IoT), Smart City, Machine Learning and Big Data Analysis. Prior to this, he took another postdoc position in the Department of Computing and Communication of the same university where he worked within the smart city project MK-Smart. Dr. Chowdhury obtained his PhD from the School of Computing Science, University of Glasgow as a recipient of the highly competitive Scottish ORS Scholarship. He was also a research scholar at the School of Computer Science in Trinity College Dublin where he received prestigious Govt. of Ireland IRCSET Embark Initiative Scholarship. Dr. Chowdhury is also a qualified engineer graduating in Computer Science and Engineering with a bachelor and a masters degree with Gold Medal distinction from East West University, Bangladesh. His recent publications include security issues in Vehicular Ad hoc Networks, and design and performance analysis of wireless protocols of various kinds in journals, conference proceedings and book chapter.

Inhaltsangabe

Chapter 1: Digital Twin Technology: An Evaluation
V. Jain, N. Luthra, D. Saini
Chapter 2: Digital Twin: Towards Internet of Drones
J. Arora, M. Tushir
Chapter 3: Digital Twin in Agriculture Sector: Detection of Disease using
Deep Learning
M. Gupta, M. Kumari, C. Ved
Chapter 4: Crop Diseases Detection and Prevention using AI and Machine
Learning Techniques
Meenu Gupta, Rakesh Kumar, Divya Singh
Chapter 5: Architecture of Digital Twin for Network Forensic Analysis Using
NMAP and WireShark
Kapil Kumar, Manju Khari
Chapter 6: Wind catchers as earth building: Digital Twins vs green
sustainable architecture
Hamed Niroumand, Charles J. Kibert, Somayeh Asadi, Fatemeh Mahdavi, Hadi
Arabi
Chapter 7: Digital Twin and the Detection and Location of DoS attacks to
Secure Cyber-Physical UAS
Gita Donkal, Anjali Donkal
Chapter 8: Digital twin techniques in Recognition of Human Action using the
fusion of Convolutional Neural Network
Meenu Gupta, Rakesh Kumar, Sapna Dewari
Chapter 9: eVote - A Decentralised Voting Platform
Vanita Jain, Akanshu Raj, Abhishek Tanwar, Mridul Khurana
Chapter 10: Nessus: A vulnerability scanner tool in network forensic
Himanshu
Chapter 11: Case Studies Related to Depression Detection Using Deep
Learning Techniques
Jagannath Jayanti, Madhavendra Singh, Vibhuti Jain